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Reconstruction of a 1,910-y-long locust series reveals consistent associations with climate fluctuations in China

Authors :
Huidong Tian
Leif Christian Stige
Rune Svarverud
Kyrre Kausrud
Nils Chr. Stenseth
Zhibin Zhang
Bernard Cazelles
Source :
Proceedings of the National Academy of Sciences. 108:14521-14526
Publication Year :
2011
Publisher :
Proceedings of the National Academy of Sciences, 2011.

Abstract

It is becoming increasingly clear that global warming is taking place; however, its long-term effects on biological populations are largely unknown due to lack of long-term data. Here, we reconstructed a 1,910-y-long time series of outbreaks of Oriental migratory locusts ( Locusta migratoria manilensis ) in China, on the basis of information extracted from >8,000 historical documents. First by analyzing the most recent period with the best data quality using generalized additive models, we found statistically significant associations between the reconstructed locust abundance and indexes of precipitation and temperature at both annual (A.D. 1512–1911) and decadal (A.D. 1000–1900) scales: There were more locusts under dry and cold conditions and when locust abundance was high in the preceding year or decade. Second, by exploring locust–environment correlations using a 200-y moving window, we tested whether these associations also hold further back in time. The locust–precipitation correlation was found to hold at least as far back as to A.D. 500, supporting the robustness of this link as well as the quality of both reconstructions. The locust–temperature correlation was weaker and less consistent, which may reflect this link being indirect and thus more easily moderated by other factors. We anticipate that further analysis of this unique time series now available to the scientific community will continue to provide insights into biological consequences of climate change in the years to come.

Details

ISSN :
10916490 and 00278424
Volume :
108
Database :
OpenAIRE
Journal :
Proceedings of the National Academy of Sciences
Accession number :
edsair.doi.dedup.....9d73811da85847e1e0e33a009b048494
Full Text :
https://doi.org/10.1073/pnas.1100189108